Annabelle Redelmeier
Senior Data Scientist
Vancouver, British Columbia, Canada
Summary
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Senior🎓
Top SchoolAnnabelle Redelmeier is a Senior Data Scientist with 7 years of experience blending statistical rigor and applied machine learning across anomaly detection, insurance, and real estate. Trained in extreme value theory at McGill, she has extended theoretical methods to recurrent events and co-authored papers in sports medicine, then translated that depth into production-ready NLP and explainable AI solutions. Her recent research focuses on explaining black-box models with Shapley values for mixed, dependent features—a topic she published on and continues to develop in industry settings. She has built sentiment and fraud models using BERT and bespoke feature engineering, taught intensive R courses to industry leaders, and routinely bridges academic methods with pragmatic model deployments. Based in Vancouver, she brings a rare combination of mathematical theory, hands-on NLP/ML engineering, and explainability expertise to complex, regulated domains.
6 years of coding experience
7 years of employment as a software developer
McGill Summer School in Health StatisticsQRM Summer School: Risk Complex SystemsCrofton House SchoolMaster of Science - MS Statistics, Master of Science - MS Statistics at McGill University
English, French, Norwegian
Github Skills (28)
shapley10
machine-learning-models10
rcpparmadillo10
lime10
interpretable-machine-learning10
iml10
rcpp10
shap9
machine-learning9
benchmarking6
benchmark6
clustering5
robustness5
python5
pytorch5
Programming languages (3)
Github contributions (5)
NorskRegnesentral/mccepy
Mar 2022 - Sep 2022
Contributions:117 commits, 63 pushes, 2 branches in 7 months
aredelmeier/EVTr
Aug 2020 - Sep 2020
Contributions:22 commits, 17 pushes, 1 branch in 9 days
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